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pro vyhledávání: '"Garcia, A. Joaquin"'
Autor:
Ibanez-Lissen, Luis, Gonzalez-Manzano, Lorena, de Fuentes, Jose Maria, Anciaux, Nicolas, Garcia-Alfaro, Joaquin
Large Language Models (LLMs) are increasingly used in a variety of applications, but concerns around membership inference have grown in parallel. Previous efforts focus on black-to-grey-box models, thus neglecting the potential benefit from internal
Externí odkaz:
http://arxiv.org/abs/2411.19876
Autor:
Garcia-Suarez, Joaquin
I consider the fluid-mediated approach of a deformable elastic object (``indenter'') to a rigid surface at relatively low velocity. As a fluid is squeezed between the tip and the rigid substrate, lubrication pressures develop, which in turn deform th
Externí odkaz:
http://arxiv.org/abs/2411.04641
This work introduces a quantum algorithm for computing the arcsine function to an arbitrary accuracy. We leverage a technique from embedded computing and field-programmable gate array (FPGA), called COordinate Rotation DIgital Computer (CORDIC). CORD
Externí odkaz:
http://arxiv.org/abs/2411.14434
The Internet of Things (IoT) relies on resource-constrained devices deployed in unprotected environments. Given their constrained nature, IoT systems are vulnerable to security attacks. Data provenance, which tracks the origin and flow of data, provi
Externí odkaz:
http://arxiv.org/abs/2407.03466
Autor:
Garcia-Suarez, Joaquin
In this letter, it is demonstrated that Recurrent Neural Networks (RNNs) based on Gated Recurrent Unit (GRU) architecture, possess the capability to learn the complex dynamics of rate-and-state friction (RSF) laws from synthetic data. The data employ
Externí odkaz:
http://arxiv.org/abs/2402.14148
Autor:
Nespoli, Pantaleone, Albaladejo-González, Mariano, Ruipérez-Valiente, José A., Garcia-Alfaro, Joaquin
It is undeniable that we are witnessing an unprecedented digital revolution. However, recent years have been characterized by the explosion of cyberattacks, making cybercrime one of the most profitable businesses on the planet. That is why training i
Externí odkaz:
http://arxiv.org/abs/2401.12594
Autor:
Bilotto, Jacopo, Kolinski, John Martin, Lecampion, Brice, Molinari, Jean-François, Subhash, Ghatu, Garcia-Suarez, Joaquin
Publikováno v:
J. Fluid Mech. 997 (2024) A35
A viscous, lubrication-like response can be triggered in a thin film of fluid squeezed between a rigid and flat surface and the tip of an incoming projectile. We develop a comprehensive theory for this viscous approach stage of fluid-mediated normal
Externí odkaz:
http://arxiv.org/abs/2311.09953
This manuscript puts forward and verifies an analytical approach to design phononic crystals that feature a bandgap at the lowest possible frequencies. This new approach is verified against numerical optimization. It rests on the exact form of the tr
Externí odkaz:
http://arxiv.org/abs/2310.05662
We introduce an iterative method to solve problems in small-strain non-linear elasticity, termed ``Phase-Space Iterations'' (PSIs). The method is inspired by recent work in data-driven computational mechanics, which reformulated the classic boundary
Externí odkaz:
http://arxiv.org/abs/2309.14031
Surface roughness is a key factor when it comes to friction and wear, as well as to other physical properties. These phenomena are controlled by mechanisms acting at small scales, in which the topography of apparently-flat surfaces is revealed. Rough
Externí odkaz:
http://arxiv.org/abs/2306.08993